A Novel Sensing Method to Detect Tissue Boundaries During Robotic Needle Insertion Based on Laser Doppler Flowmetry

Abstract

This study investigates the use of Laser Doppler Flowmetry (LDF) as a method to detect tissue transitions during robotic needle insertions. Insertions were performed in gelatin tissue phantoms with different optical and mechanical properties and into ex-vivo sheep brain. The effect of changing the optical properties of gelatin tissue phantoms was first investigated and it was shown that using gelatin concentration to modify the stiffness of samples was suitable. Needle insertion experiments were conducted into both one-layer and two-layer gelatin phantoms. In both cases, three stages could be observed in the perfusion values: tissue loading, rupture and tissue cutting. These were correlated to force values measured from the tip of the needle during insertion. The insertions into ex-vivo sheep brain also clearly showed the time of rupture in both force and perfusion values, demonstrating that tissue puncture can be detected using an LDF sensor at the tip of a needle.

Coronary vessel detection methods for organ‐mounted robots

“…Detection via Doppler ultrasound and Laser Doppler has been used for guidance of robotic applications in vivo, [19][20][21] avoidance upon needle insertion [22][23][24] and cannulation procedures. 25 However, these prior efforts did not deal with detection of coronary vessels.…”